Research on the Assessment for Air Environment Quality Based on Support Vector Machine

摘要：

According to the theory of SVM, the models for the assessment of air environment quality were built and analyzed based on Support Vector Classification and Support Vector Regression. The conclusions are that the SVM is an easy and accurate method for the assessment of air environment quality and the model for the assessment of air environment quality is more accurate based on Support Vector Classification. The models were used to assess the air environment quality of 11 cities of Hebei province in China and this article was also an empirical application example using SVM in the assessment of air environment quality.

关键词： Support Vector Machine (SVM) air environment quality assessment

作者: Wang Haifeng Fang Jun Gao Chong

作者单位: School of Business Management,North China Electric Power University,Baoding 071003

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 4753-4757

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）